"""文本向量化服务 — 调用千问 embedding API。"""

import logging

from app.core.config import settings

logger = logging.getLogger(__name__)


async def get_embedding(text: str) -> list[float]:
    """获取文本的向量嵌入。"""
    try:
        from openai import AsyncOpenAI
        client = AsyncOpenAI(api_key=settings.llm_api_key, base_url=settings.llm_base_url)
        response = await client.embeddings.create(
            model="text-embedding-v2",
            input=text[:2000],
        )
        return response.data[0].embedding
    except Exception as e:
        logger.warning(f"Embedding 获取失败: {e}")
        return []